Foto del docente

Giulio Cazzoli

Ricercatore confermato

Dipartimento di Ingegneria Industriale

Settore scientifico disciplinare: ING-IND/08 MACCHINE A FLUIDO

Pubblicazioni

De Renzis, Edoardo; Mariani, Valerio; Bianchi, Gian Marco; Cazzoli, Giulio; Falfari, Stefania, A Numerical Methodology to Test the Lubricant Oil Evaporation and Its Thermal Management-Related Properties Derating in Hydrogen-Fueled Engines, «SAE INTERNATIONAL JOURNAL OF ENGINES», 2023, 17, Article number: 03-17-02-0015, pp. 1 - 13 [articolo]Open Access

De Renzis, Edoardo ; Mariani, Valerio ; Bianchi, Gian Marco ; Falfari, Stefania ; Cazzoli, Giulio, Application of a One-Dimensional Dilution and Evaporation Lubricant Oil Model to Predict Oil Evaporation under Different Engine Operative Conditions Considering a Large Hydrogen-Fuelled Engine, «SAE TECHNICAL PAPER», 2023, 2023-24-0009, Article number: 2023-24-0009, pp. 1 - 10 [articolo]Open Access

Falfari, Stefania ; Mariani, Valerio ; Bianchi, Gian Marco ; Cazzoli, Giulio, Comparison of Modern Powertrains Using an Energy Model Based on Well-to-Miles Analysis, «SAE TECHNICAL PAPER», 2023, 2023-24-0005, Article number: 2023-24-0005, pp. 1 - 20 [articolo]Open Access

Falfari S.; Cazzoli G.; Mariani V.; Bianchi G.M., Hydrogen Application as a Fuel in Internal Combustion Engines, «ENERGIES», 2023, 16, Article number: 2545, pp. 1 - 13 [articolo]Open Access

Mariani V.; Civita G. L.; Cazzoli G.; Falfari S.; Ghedini E.; Merola S.; Irimescu A.; Antetomaso C., A numerical methodology based on CFD and plasma chemical kinetics simulations: a focus on the cyano radical, in: COMODIA 2022 - 10th International Conference on Modeling and Diagnostics for Advanced Engine Systems, Japan Society of Mechanical Engineers, 2022, 22, pp. 136 - 144 (atti di: 10th International Conference on Modeling and Diagnostics for Advanced Engine Systems, COMODIA 2022, Conference Hall, Hokkaido University, jpn, 5-8 of July, 2022) [Contributo in Atti di convegno]

De Renzis E.; Mariani V.; Bianchi G.M.; Falfari S.; Cazzoli G., Application of a one-dimensional fuel-oil dilution model coupled with an empirical droplet-to-film formation strategy for predicting in-cylinder oil effects in a direct injection engine, «JOURNAL OF PHYSICS. CONFERENCE SERIES», 2022, 2385, Article number: 012063, pp. 1 - 11 [articolo]Open Access

Mariani, Valerio; La Civita, Giorgio; Pulga, Leonardo; Ugolini, Edoardo; Ghedini, Emanuele; Falfari, Stefania; Cazzoli, Giulio; Bianchi, Gian Marco; Forte, Claudio, Numerical Evaluation of the Effect of Fuel Blending with CO2 and H2 on the Very Early Corona-Discharge Behavior in Spark Ignited Engines, «ENERGIES», 2022, 15, Article number: 1426, pp. 1 - 19 [articolo]Open Access

Viscione D.; Bianchi G.M.; Ravaglioli V.; Falfari S.; Cazzoli G.; Silvagni G.; Mariani V.; Corsi M., 1D-3D coupled approach for the evaluation of the in-cylinder conditions for Gasoline Compression Ignition Combustion, «JOURNAL OF PHYSICS. CONFERENCE SERIES», 2022, 2385, Article number: 012067, pp. 1 - 14 [articolo]Open Access

De Renzis E. , Mariani V. , Bianchi G. M. , Cazzoli G. , Falfari S. , Antetomaso C. , Irimescu A., Implementation of a multi-zone numerical blow-by model and its integration with cfd simulations for estimating collateral mass and heat fluxes in optical engines, «ENERGIES», 2021, 14, Article number: 8566, pp. 1 - 21 [articolo]Open Access

La Civita, Giorgio; Orlandi, Francesco; Mariani, Valerio; Cazzoli, Giulio; Ghedini, Emanuele, Numerical Characterization of Corona Spark Plugs and Its Effects on Radicals Production, «ENERGIES», 2021, 14, Article number: 381, pp. 1 - 22 [articolo]Open Access

Falfari S.; Cazzoli G.; Ricci M.; Forte C., PWI and DWI Systems in Modern GDI Engines: Optimization and Comparison Part I: Non-Reacting Flow Analysis, in: SAE Technical Papers, SAE International, 2021, 1, pp. 1 - 20 (atti di: SAE 2021 WCX Digital Summit, usa, 2021) [Contributo in Atti di convegno]Open Access

Falfari S.; Bianchi G.M.; Cazzoli G.; Forte C., Thermal Efficiency Enhancement for Future Rightsized Boosted GDI Engines - Effectiveness of the Operation Point Strategies Depending on the Engine Type, in: SAE Technical Papers, SAE International, 2021, 1, pp. 1 - 21 (atti di: SAE 15th International Conference on Engines and Vehicles, ICE 2021, ita, 2021) [Contributo in Atti di convegno]Open Access

Mariani V.; Pulga L.; Bianchi G.M.; Cazzoli G., A Bayesian neural network methodology to predict the liquid phase diffusion coefficient, «INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER», 2020, 161, Article number: S0017931020332452, pp. 1 - 9 [articolo]Open Access

Mariani V.; Bianchi G.M.; Cazzoli G.; Falfari S., A one-dimensional model for the motor oil-fuel dilution under gasoline engine boundary conditions, «E3S WEB OF CONFERENCES», 2020, 197, Article number: 06004, pp. 1 - 15 [articolo]Open Access

Leonardo Pulga, Gian Marco Bianchi, Giulio Cazzoli, Valerio Mariani, Claudio Forte, Application of deep neural networks to the prediction of the ignition delay time of gasoline PRF and TRF surrogates with the addition of oxygenates for CFD engine simulations, in: Proceedings of THIESEL 2020 Thermo and fluid dynamic processes in direct injection engines, 2020, pp. 195 - 205 (atti di: THIESEL 2020 Thermo and fluid dynamic processes in direct injection engines, Online conference, 8-11 Settembre 2020) [Contributo in Atti di convegno]

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